Format:
Online-Ressource (X, 199 p. 31 illus., 6 illus. in color, digital)
ISBN:
9789400743304
,
1280994142
,
9781280994142
Series Statement:
SpringerLink
Content:
The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.
Note:
Description based upon print version of record
,
New Frontiers of Network Analysis in Systems Biology; Preface; References; Contents; Chapter 1: Gene Expression Profiling and Regulatory Networks in Single Cells; 1.1 Introduction; 1.2 The Significance of Single Cell Analysis; 1.3 Methods for Gene Expression Analysis at the Single Cell Level; 1.4 High Throughput Real Time PCR Array Analysis; 1.5 Identification of Subpopulation of Bone Marrow Stromal Cells Using Single Cell Gene Expression Analysis: A Case Study; 1.6 Conclusion; 1.7 Methods; References; Chapter 2: Cell Fate Regulatory Networks; 2.1 Introduction; 2.2 Regulatory Networks
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2.3 Modeling Regulatory Networks2.3.1 Boolean Networks; 2.3.2 Rate Equations; 2.3.3 Network Motifs; 2.3.3.1 Positive and Negative Feedback Loops: Switches, Homeostasis and Oscillators; 2.3.3.2 Feedforward Loops: Persistence Detectors and Pulse Generators; 2.3.3.3 Does Structure Determine Function?; 2.4 Conclusion; References; Chapter 3: Noise in Regulatory Networks; 3.1 Introduction; 3.2 Stochastic Processes and Variability; 3.2.1 Example: A Simple Synthesis-Degradation Model; 3.2.2 Computing Estimates of Variation; 3.2.3 Example: Moments for the Synthesis-Degradation Model
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3.3 Promoter States and Intrinsic Noise3.3.1 Complex Eukaryotic Promoters; 3.4 Local and Global Fluctuations: Propagation and Correlations; 3.4.1 Spatial Embedding of Expression Dynamics: Noise and Noise Reduction; 3.4.2 Langevin Methods for Including Diffusion and Extrinsic Noise; 3.4.3 Feedback, Noise Attenuation and Amplification; 3.4.4 Dynamic Noise Correlations: Activators and Repressors; 3.5 Noise in Regulatory Networks: Multistability and Transients; 3.5.1 Multi-modality of Gene Expression in Isogenic Populations; 3.5.1.1 Applications of the Concept of Noise-Induced Switching
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3.5.1.2 Observing Noise-Driven Phenotype Switching3.5.2 Noise-Driven Transients in Excitable Systems; 3.6 Conclusion: Controlling (for) Noise; References; Chapter 4: Generalised Modelling in Systems Biology; 4.1 Introduction; 4.2 Basic Concepts; 4.3 A Simple Example; 4.4 Application to Large Systems; 4.4.1 Multiple Gain and Loss Terms; 4.4.2 Iterative Refinement; 4.4.3 Extracting Information from Generalised Models; 4.5 Applications in Systems Biology; 4.6 Discussion; References; Chapter 5: Relative Quantification Mass Spectrometry Using iTRAQ Isobaric Tags; 5.1 Introduction
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5.2 Basis of the iTRAQ Method5.3 iTRAQ Method-Based Experimental Design Is Critical for Optimal Data Acquisition; 5.4 Turning iTRAQ-Based Experimental Data into Information: Data Analysis; 5.5 Outstanding Issues with iTRAQ Methodology; 5.6 Uses of the iTRAQ Technology; 5.7 Summary; References; Chapter 6: Deciphering Protein Complexes and Protein Interaction Networks for Stem Cell Pluripotency; 6.1 Introduction; 6.2 Overview of the Approaches for Affinity Purification of Protein Complexes in ESCs; 6.2.1 Antibody-Based Affinity Purification of Endogenous Protein Complexes
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6.2.2 Epitope Tagging for Affinity Purification of Protein Complexes in ESCs
Additional Edition:
ISBN 9789400743298
Additional Edition:
Buchausg. u.d.T. ISBN 978-94-007-4329-8
Language:
English
DOI:
10.1007/978-94-007-4330-4
URL:
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